Deontic exploration v3
PBi
2021/05/13
Read data
## [1] 26777 20The 100 most common subjects
##
## that this system which -pron-
## 11305 850 418 410 386 312
## government ai agency company use datum
## 297 277 274 210 183 171
## technology people machine user entity manufacturer
## 164 161 149 138 132 120
## person driver state vehicle intelligence sector
## 116 112 109 108 102 96
## process development model organisation structure algorithm
## 95 94 89 85 79 79
## tool states individual principle law robot
## 76 76 76 74 74 72
## application operator action regulation decision business
## 72 65 63 61 61 61
## court researcher industry thailand country denmark
## 58 55 55 54 54 52
## bank approach authority group institution human
## 52 52 51 49 48 48
## controller these ads right framework error
## 48 47 47 46 46 46
## solution provider developer some centre measure
## 45 45 45 44 44 43
## actor requirement organization finland policy party
## 43 42 42 42 40 40
## information strategy europe assessment service regulator
## 40 39 39 39 38 37
## owner risk learning bias activity research
## 37 36 36 35 35 34
## processing citizen platform investment work society
## 34 34 33 33 32 32
## innovation transparency those nhtsa design output
## 32 31 31 31 31 30
## change carrier analysis public
## 30 30 30 29Modal verb vs year
##
## can must shall
## 1994 195 132 101
## 1996 88 11 72
## 2011 113 1 188
## 2014 17 4 1
## 2016 662 164 405
## 2017 2431 559 1343
## 2018 5053 737 1597
## 2019 4048 954 2437
## 2020 3764 531 1048
##
## can-neg can-pos must-neg must-pos shall-neg shall-pos
## 1994 15 180 5 127 10 91
## 1996 4 84 0 11 3 69
## 2011 12 101 0 1 2 186
## 2014 0 17 0 4 0 1
## 2016 80 582 15 149 14 391
## 2017 136 2295 25 534 48 1295
## 2018 384 4669 68 669 76 1521
## 2019 294 3754 50 904 102 2335
## 2020 282 3482 10 521 68 980
Modal verb vs country
##
## can must shall
## Australia 516 80 192
## Austria 862 334 616
## Belgium - Federal government 122 49 84
## Canada 543 45 76
## Colombia 125 44 47
## Czechia 149 30 51
## Denmark 561 221 152
## European Union 2088 395 710
## Finland 628 168 192
## Germany 174 91 158
## Global 1480 146 594
## Hong Kong 120 22 69
## India 609 267 303
## Italy 402 52 115
## Japan 484 111 333
## Malta 299 29 71
## Netherlands 168 76 22
## New Zealand 314 26 85
## Norway 388 119 84
## Singapore 165 7 97
## Spain 215 133 107
## Thailand 210 42 485
## United Kingdom 1817 163 763
## United States 1350 85 226
## USA 1572 141 966
##
## can-neg can-pos must-neg must-pos shall-neg
## Australia 56 460 12 68 11
## Austria 150 712 43 291 21
## Belgium - Federal government 6 116 2 47 3
## Canada 33 510 3 42 9
## Colombia 14 111 1 43 1
## Czechia 8 141 0 30 1
## Denmark 11 550 6 215 21
## European Union 163 1925 14 381 55
## Finland 45 583 6 162 4
## Germany 20 154 8 83 7
## Global 68 1412 6 140 23
## Hong Kong 11 109 2 20 1
## India 35 574 4 263 9
## Italy 29 373 1 51 14
## Japan 53 431 19 92 11
## Malta 11 288 3 26 2
## Netherlands 44 124 14 62 2
## New Zealand 21 293 0 26 4
## Norway 21 367 2 117 3
## Singapore 5 160 0 7 4
## Spain 16 199 5 128 10
## Thailand 10 200 1 41 13
## United Kingdom 119 1698 9 154 33
## United States 95 1255 1 84 22
## USA 114 1458 3 138 24
##
## shall-pos
## Australia 181
## Austria 595
## Belgium - Federal government 81
## Canada 67
## Colombia 46
## Czechia 50
## Denmark 131
## European Union 655
## Finland 188
## Germany 151
## Global 571
## Hong Kong 68
## India 294
## Italy 101
## Japan 322
## Malta 69
## Netherlands 20
## New Zealand 81
## Norway 81
## Singapore 93
## Spain 97
## Thailand 472
## United Kingdom 730
## United States 204
## USA 942
Modal verb vs verb
##
## can must shall
## 142 19 48
## achieve 110 1 11
## address 53 22 53
## affect 158 0 3
## apply 140 6 62
## be 2325 706 1299
## become 111 16 22
## cause 112 25 4
## consider 159 55 275
## create 128 10 35
## develop 72 15 132
## do 147 21 52
## ensure 36 85 72
## establish 29 15 67
## expect 101 1 17
## find 124 10 9
## give 54 30 74
## have 372 133 228
## help 436 10 15
## identify 72 12 64
## impact 107 3 1
## improve 117 1 26
## include 227 40 232
## increase 81 6 23
## involve 78 9 22
## lead 235 46 14
## make 476 73 101
## need 131 0 0
## occur 92 0 12
## perform 81 9 27
## play 70 8 31
## promote 18 15 69
## provide 252 66 119
## reduce 81 2 22
## require 123 0 31
## result 107 7 4
## see 68 6 30
## serve 74 9 36
## support 80 13 42
## take 180 121 223
## use 965 25 112
## work 58 22 60
##
## can-neg can-pos must-neg must-pos shall-neg shall-pos
## 0 142 0 19 0 48
## achieve 9 101 0 1 0 11
## address 9 44 0 22 0 53
## affect 1 157 0 0 2 1
## apply 2 138 0 6 4 58
## be 232 2093 17 689 66 1233
## become 2 109 1 15 1 21
## cause 4 108 23 2 4 0
## consider 14 145 0 55 9 266
## create 1 127 0 10 1 34
## develop 3 69 0 15 0 132
## do 17 130 0 21 1 51
## ensure 2 34 0 85 0 72
## establish 2 27 0 15 2 65
## expect 5 96 1 0 2 15
## find 8 116 0 10 0 9
## give 3 51 1 29 1 73
## have 22 350 4 129 13 215
## help 1 435 0 10 0 15
## identify 8 64 0 12 0 64
## impact 0 107 0 3 0 1
## improve 0 117 0 1 0 26
## include 7 220 1 39 0 232
## increase 1 80 0 6 0 23
## involve 2 76 0 9 1 21
## lead 2 233 45 1 3 11
## make 195 281 1 72 4 97
## need 4 127 0 0 0 0
## occur 2 90 0 0 0 12
## perform 6 75 0 9 0 27
## play 0 70 0 8 0 31
## promote 2 16 0 15 0 69
## provide 12 240 0 66 1 118
## reduce 5 76 1 1 0 22
## require 4 119 0 0 1 30
## result 2 105 5 2 1 3
## see 9 59 4 2 3 27
## serve 0 74 0 9 3 33
## support 3 77 0 13 2 40
## take 6 174 2 119 4 219
## use 34 931 3 22 13 99
## work 3 55 0 22 0 60
Modal verb vs verb
##
## can must shall
## 6890 1273 3142
## -pron- 168 75 69
## agency 141 33 100
## ai 251 11 15
## company 87 27 96
## datum 120 18 33
## driver 49 45 18
## entity 46 4 82
## government 94 32 171
## intelligence 76 8 18
## machine 81 51 17
## manufacturer 30 33 57
## people 109 23 29
## person 70 17 29
## state 47 18 44
## system 288 52 70
## technology 128 5 31
## that 816 9 25
## this 354 11 53
## use 148 13 22
## user 72 9 57
## vehicle 72 18 18
## which 337 9 40
##
## can-neg can-pos must-neg must-pos shall-neg shall-pos
## 665 6225 44 1229 144 2998
## -pron- 21 147 7 68 6 63
## agency 3 138 0 33 1 99
## ai 7 244 1 10 3 12
## company 6 81 0 27 3 93
## datum 8 112 3 15 2 31
## driver 7 42 6 39 0 18
## entity 6 40 0 4 3 79
## government 4 90 0 32 1 170
## intelligence 1 75 2 6 8 10
## machine 7 74 0 51 5 12
## manufacturer 0 30 0 33 1 56
## people 11 98 0 23 1 28
## person 8 62 1 16 5 24
## state 4 43 3 15 5 39
## system 17 271 3 49 5 65
## technology 2 126 0 5 2 29
## that 25 791 1 8 0 25
## this 8 346 0 11 1 52
## use 6 142 2 11 2 20
## user 4 68 0 9 0 57
## vehicle 2 70 0 18 2 16
## which 14 323 0 9 0 40
Subject
##
## can must shall
## actors 0 0 2
## agencies 1 0 0
## agency 141 33 100
## ai 251 11 15
## algorithms 21 0 4
## automation 26 0 0
## centre 4 1 39
## controller 5 26 17
## country 32 2 20
## court 39 14 5
## data 12 0 4
## developers 0 0 5
## development 42 21 31
## driver 49 45 18
## government 94 32 171
## guidelines 2 0 3
## implementation 11 2 13
## industry 36 5 14
## institutions 0 0 1
## intelligence 76 8 18
## law 45 5 24
## laws 0 0 1
## machine 81 51 17
## machines 0 5 0
## manufacturer 30 33 57
## manufacturers 0 1 3
## model 74 8 7
## organisations 0 0 4
## people 109 23 29
## principle 21 11 42
## public 23 0 6
## regulation 28 8 25
## research 16 10 8
## services 1 0 0
## society 11 10 11
## state 47 18 44
## states 41 7 28
## structure 4 3 72
## system 288 52 70
## systems 1 1 0
## technologies 0 0 2
## technology 128 5 31
## transparency 23 4 4
## vehicle 72 18 18
## work 11 8 13
documentClass / category / country
